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---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: zephyr-7b
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5769
- Rewards/chosen: -0.6646
- Rewards/rejected: -1.1353
- Rewards/accuracies: 0.3711
- Rewards/margins: 0.4707
- Logps/rejected: -190.7267
- Logps/chosen: -130.3719
- Logits/rejected: 1.8500
- Logits/chosen: 1.7576
- Use Label: 6517.1875
- Pred Label: 782.8125
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
| 0.6531 | 0.21 | 100 | 0.6528 | -0.1643 | -0.2945 | 0.3633 | 0.1303 | -106.6470 | -80.3385 | -1.7198 | -1.7354 | 1725.3125 | 6.6875 |
| 0.6041 | 0.42 | 200 | 0.5936 | -0.7144 | -1.1047 | 0.3516 | 0.3903 | -187.6596 | -135.3474 | 0.9784 | 0.8864 | 3420.5938 | 167.4062 |
| 0.5763 | 0.63 | 300 | 0.5773 | -0.7930 | -1.2317 | 0.3516 | 0.4387 | -200.3615 | -143.2137 | 1.7526 | 1.6599 | 4991.2812 | 452.7188 |
| 0.5836 | 0.84 | 400 | 0.5769 | -0.6646 | -1.1353 | 0.3711 | 0.4707 | -190.7267 | -130.3719 | 1.8500 | 1.7576 | 6517.1875 | 782.8125 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |